Back to Search Start Over

Bridging the gap between metabolic profile determination and visualization in neurometabolic disorders: a multivariate analysis of proton magnetic resonance in vivo spectra.

Authors :
Skorupa, Agnieszka
Jamroz, Ewa
Paprocka, Justyna
Sokół, Maria
Wicher, Magdalena
Kiełtyka, Aleksandra
Source :
Journal of Chemometrics. Mar2013, Vol. 27 Issue 3/4, p76-90. 15p.
Publication Year :
2013

Abstract

The purpose of this work was to check the degree of overlap between rare inborn errors of metabolism and other neurological disorders using principal component analysis of proton magnetic resonance spectroscopy (1H MRS) in vivo data. We examined 60 patients (median age of 22 months). Fourteen of them were diagnosed with neurometabolic disorders (three cases of metachromatic leukodystrophy, two cases of Canavan disease, two cases of megalencephalic leukoencephalopathy with subcortical cysts, three cases of mitochondrial cytopathy, one case of nonketotic hyperglycinemia, one case of globoid leukodystrophy, one case of congenital disorders of glycosylation, and one case of ethylmalonic encephalopathy). The remaining 46 patients were diagnosed with epilepsy, cerebral palsy, and developmental delay. Results obtained from principal component analysis of complete unresolved 1H MRS in vivo spectra were interpreted parallelly with LCModel-derived metabolite levels. The main attention was paid to the following metabolites: N-acetylaspartate, glutamate + glutamine, creatine, choline, myo-inositol signal with an uncertain contribution of glycine, and glucose. 1H MRS in vivo coupled with multivariate analysis is an efficient tool in visualization of metabolic abnormalities in several inborn errors of metabolism (metachromatic leukodystrophy, globoid leukodystrophy, megalencephalic leukoencephalopathy with subcortical cysts, and Canavan disease). Copyright © 2013 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08869383
Volume :
27
Issue :
3/4
Database :
Academic Search Index
Journal :
Journal of Chemometrics
Publication Type :
Academic Journal
Accession number :
86881510
Full Text :
https://doi.org/10.1002/cem.2494